AI-assisted software development services

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Build and ship product features faster with AI-assisted engineering workflows while keeping architecture, code quality, and final delivery under senior engineering control.
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clutch top app development company startup 2025
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AI-assisted delivery,
not AI-only development

AI tools can help software teams write code faster, generate tests, prepare documentation, summarize requirements, review pull requests, and refactor repetitive parts of the codebase. But AI does not replace software engineering.
Without clear requirements, architecture, coding standards, review rules, QA practices, and delivery governance, AI-assisted development can create inconsistent code, hidden technical debt, security risks, and unstable releases. That is why SolveIt focuses on AI-assisted delivery, not AI-only development.
“We help you use AI where it creates real efficiency while keeping senior engineers in control of the decisions that matter most.”
Andrei Savich, CTO at SolveIt
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Use AI where it helps. Keep engineers where it matters

Speed up delivery without giving up engineering control.

Who AI-assisted software development services are for

Our AI-assisted development services are designed for companies that want to improve how software gets delivered, not just experiment with coding tools.
AI can accelerate software delivery, but only when the process around it is clear.
This service may be the right fit if:
Your developers already use AI tools individually, but your team does not have a consistent AI-assisted workflow.
You want to reduce repetitive manual engineering work without lowering quality standards.
Your CTO or engineering lead wants AI adoption with architecture, security, and QA guardrails.
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You want to introduce AI coding assistants, test generation, documentation automation, or AI-assisted code review.
You want to make your existing development team more productive.
You need to speed up discovery, coding, QA, documentation, refactoring, or delivery.
You need a senior engineering partner to help you build faster with AI.
You want AI-assisted delivery, but not uncontrolled AI-generated code.

Our AI-assisted software development services

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AI-assisted development and delivery

Build and ship product features faster with AI-assisted engineering workflows while keeping architecture, code quality, and final delivery under senior engineering control.

What you get

AI coding agents configured for your tools and codebase / Practical workflows for AI-assisted planning, coding, testing, and documentation / Structured SRS and technical specification processes / Team-specific prompting and context-management guidelines / Clear coding, security, and review standards / Mandatory senior review checkpoints for AI-generated work

Enhance Coding
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AI engineering workflow audit & transformation

Assess where AI can improve your engineering process and build a practical roadmap for controlled AI adoption.

SolveIt reviews your SDLC, DevOps, QA, documentation, code review, delivery workflows, team responsibilities, and AI tool usage to define where AI should be applied and what controls are needed.

What you get

SDLC and workflow assessment / AI opportunity and risk map / Recommended tools and engineering controls / Pilot and rollout roadmap / DevOps, QA, review, and documentation improvements / Success metrics for delivery speed and quality

Optimize AI Workflows
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AI-built project rescue services

Rescue products started with vibe coding, Lovable, Bolt, Cursor, Claude, Replit, ChatGPT, or similar AI tools when the product becomes hard to maintain, scale, secure, or launch.

SolveIt reviews what was built, identifies what can be reused, refactored, or rebuilt, and helps turn an AI-generated prototype into production-ready software.

What you get

A comprehensive review of your AI-generated codebase / Clear reuse, refactor, or rebuild recommendations / Architecture, security, and scalability assessment / A prioritized stabilization and recovery roadmap / Production-readiness recovery plan

Rescue AI-built Product
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Hire AI-assisted software developers

Extend your team with experienced mobile, web, backend, QA, and full-stack specialists who use AI coding tools while following real engineering standards.

Our developers work with tools such as Cursor, GitHub Copilot, Claude Code, and OpenAI Codex, integrating into your existing process while keeping human ownership of every deliverable.

What you get

Experienced mobile, web, backend, QA, and full-stack specialists / Productive use of AI throughout the development workflow / Faster delivery of features, tests, and technical documentation / Accountable human ownership of every deliverable with mandatory human review / Flexible capacity that scales with your team & business needs

Hire AI-Assisted Developers
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Want to use AI in development without losing control?

We can help you define where AI fits into your SDLC and where senior engineering oversight is still required.

Senior engineering oversight

AI can accelerate software delivery, but architecture, quality, security, and production readiness still require experienced engineering oversight.
AI can accelerate
Coding and refactoring
Code review preparation
Release and delivery workflows
Test generation and QA support
Requirements and documentation
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Senior engineers stay responsible for
Architecture and technical decisions
Business logic and integrations
Code quality and security
Final review and QA
Production readiness and maintainability

AI-assisted software development process

Review your current development workflowReview your current development workflow
Step 01
🔍

Review your current development workflow

We start by understanding how your team works today: discovery, planning, coding, code review, QA, documentation, releases, and support.
We identify bottlenecks, repetitive work, quality risks, and places where AI can realistically help.
Define AI-assisted use casesDefine AI-assisted use cases
Step 02
🎯

Define AI-assisted use cases

We map AI opportunities across your software development lifecycle.
This may include requirements preparation, coding support, automated test generation, documentation, refactoring, bug triage, delivery reporting, or developer onboarding.
Select tools and define guardrailsSelect tools and define guardrails
Step 03
🧭

Select tools and define guardrails

We help choose the right AI-assisted development tools and define how they should be used.
This includes access rules, coding standards, prompt guidelines, review requirements, documentation rules, and security-sensitive boundaries.
Pilot AI-assisted workflowsPilot AI-assisted workflows
Step 04
🚀

Pilot AI-assisted workflows

We start with a focused pilot: one team, one project, or one workflow.
The goal is to prove where AI saves time, where it needs control, and how the team should adapt before scaling the approach.
Integrate AI into daily deliveryIntegrate AI into daily delivery
Step 05
⚙️

Integrate AI into daily delivery

Once the pilot is validated, we help integrate AI-assisted workflows into sprint planning, development, QA, documentation, and release processes.
Measure and improveMeasure and improve
Step 06
📈

Measure and improve

We track what actually changes: delivery speed, review time, test coverage, documentation quality, bug rates, team adoption, and developer experience.
Scale AI-assisted developmentScale AI-assisted development
Step 07
⚡

Scale AI-assisted development

After the workflow is stable, we help extend AI-assisted development practices across more projects, teams, or product areas.

Turn AI experiments into a real engineering workflow

We help teams move from individual AI tool usage to a structured AI-assisted development process.

Client reviews

Carl Tennberg
Head of IT, DentMe

Carl Tennberg

“The project delivered clear, measurable outcomes that demonstrated both visual and business impact. We saw a noticeable improvement in conversion rates after launch”

Rocío Vega Martínez
Head of Digitalization, Reganosa

Rocío Vega Martínez

“The entire SolveIt team got involved in the project to understand the value they could bring to us and our clients.”

Eva Leach
CEO & Co-Founder, Baibe Bytes AB

Eva Leach

“We were very happy with both the progress and the end result. Knowledgeable and friendly staff. Hardworking and good deliverables.”

Anna Harissis
CEO & Co-Founder, Out Co.

Anna Harissis

“They are a very communicative and kind team. They were excited about the project and they helped us complete the app quickly and beautifully.”

Stephanie Scott
Founder, ModMatch

Stephanie Scott

“This is a great company to work with, and I'm extremely happy with my decision to work with them.”

Dan Traux
CEO & Founder, RVista Ventures

Dan Traux

“What impressed me most about SolveIt was their unique blend of creativity, hunger, and intelligence.”

Nick Young
CEO, IT Company

Nick Young

“The responsiveness of the team members was highly commendable. They were all more than willing to jump in, answer questions, and iterate on our deliverables.”

Georgy Romelashvili
Content Creator & CEO, LUT Studio

Georgy Romelashvili

“SolveIt impressed me with their design skills. Users really like the app. They appreciate the usability and easiness to use it!”

Aibek Mazhitov
Indie Hacker, Vibely

Aibek Mazhitov

“Their professionalism and attention to detail truly set them apart. What impressed me most about SolveIt was their deep expertise and ability to fully understand my vision.”

Mike Lyon
Founder & CEO, ClapClapBoom

Mike Lyon

“The Solveit team has been the epitome of professionalism. They're very knowledgeable, great to collaborate with and deliver outstanding quality.”

Cozmin Fatul
Co-Founder, Foreteller

Cozmin Fatul

“What impressed me most about SolveIt was their genuine willingness to help at every stage of the project.”

George Mata
CEO, Hemie

George Mata

“Their innovative approach, combined with their commitment to our project's success, truly sets them apart.”

Markos Iakovidis
Executive, MyRaceData

Markos Iakovidis

“The team was very professional, delivering each milestone of the project on the agreed deadlines.”

Dominik Frei
Founder & CEO, Gumb

Dominik Frei

“They were flexible, pivoting when we needed to change the project scope. We felt like a team with common goals.”

Carl Tennberg
Head of IT, DentMe

Carl Tennberg

“The project delivered clear, measurable outcomes that demonstrated both visual and business impact. We saw a noticeable improvement in conversion rates after launch”

Rocío Vega Martínez
Head of Digitalization, Reganosa

Rocío Vega Martínez

“The entire SolveIt team got involved in the project to understand the value they could bring to us and our clients.”

Eva Leach
CEO & Co-Founder, Baibe Bytes AB

Eva Leach

“We were very happy with both the progress and the end result. Knowledgeable and friendly staff. Hardworking and good deliverables.”

Anna Harissis
CEO & Co-Founder, Out Co.

Anna Harissis

“They are a very communicative and kind team. They were excited about the project and they helped us complete the app quickly and beautifully.”

Stephanie Scott
Founder, ModMatch

Stephanie Scott

“This is a great company to work with, and I'm extremely happy with my decision to work with them.”

Dan Traux
CEO & Founder, RVista Ventures

Dan Traux

“What impressed me most about SolveIt was their unique blend of creativity, hunger, and intelligence.”

Nick Young
CEO, IT Company

Nick Young

“The responsiveness of the team members was highly commendable. They were all more than willing to jump in, answer questions, and iterate on our deliverables.”

Georgy Romelashvili
Content Creator & CEO, LUT Studio

Georgy Romelashvili

“SolveIt impressed me with their design skills. Users really like the app. They appreciate the usability and easiness to use it!”

Aibek Mazhitov
Indie Hacker, Vibely

Aibek Mazhitov

“Their professionalism and attention to detail truly set them apart. What impressed me most about SolveIt was their deep expertise and ability to fully understand my vision.”

Mike Lyon
Founder & CEO, ClapClapBoom

Mike Lyon

“The Solveit team has been the epitome of professionalism. They're very knowledgeable, great to collaborate with and deliver outstanding quality.”

Cozmin Fatul
Co-Founder, Foreteller

Cozmin Fatul

“What impressed me most about SolveIt was their genuine willingness to help at every stage of the project.”

George Mata
CEO, Hemie

George Mata

“Their innovative approach, combined with their commitment to our project's success, truly sets them apart.”

Markos Iakovidis
Executive, MyRaceData

Markos Iakovidis

“The team was very professional, delivering each milestone of the project on the agreed deadlines.”

Dominik Frei
Founder & CEO, Gumb

Dominik Frei

“They were flexible, pivoting when we needed to change the project scope. We felt like a team with common goals.”

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Experience behind our AI-assisted delivery

AI-assisted development works best when backed by strong product engineering. Our experience spans AI-powered products, modernization, complex integrations, rapid MVP delivery, QA, and production launch.

AI caregiving mobile & web platform

AI + modernization

Relaunched a caregiving product into a unified web, iOS, and Android platform with AI features, accessibility-focused UX, and a scalable monetization model.

Results:
OpenAI-powered virtual caregiver integrated into the product
Legacy .NET platform modernized with React
Native iOS and Android experiences brought into one ecosystem
Shared mobile logic introduced with Kotlin Multiplatform
Subscriptions, integrations, and QA prepared for release
Read more

Real Estate Website & Client App

AI + integrations

Created a connected real estate ecosystem combining AI-powered property search with web and mobile products, backend services, Salesforce, and CMS workflows.

Results:
Conversational property search launched with OpenAI
Web and mobile experiences connected into one ecosystem
Salesforce and Strapi integrated with product workflows
Backend and APIs built to support client-facing functionality
QA, analytics, and ongoing support established
Read more

AI Productivity App

AI + rapid product delivery

Delivered an AI-powered productivity assistant for iOS and macOS, combining intelligent planning, voice interaction, custom AI logic, and Apple ecosystem integrations.

Results:
AI-powered personal assistant launched on iOS and macOS
Custom AI models and voice interaction integrated
OpenAI, Gemini, and ElevenLabs connected
MVP released in 4 months
Achieved a 5-star App Store rating
Read more

Energy Saving App

AI + measurable business impact

Turned an energy-saving concept into a native MVP where AI analyzes energy usage and recommends more cost-effective electricity tariffs.

Results:
Custom AI-driven recommendation engine integrated
Energy data turned into personalized tariff recommendations
Native iOS and Android apps supported by backend and admin tools
Users reduced electricity costs by 23% on average in beta
Savings increased to 26% after launch
Read more

Looking for more
than AI tool adoption?

SolveIt can connect AI-assisted workflows with full-cycle software development.

Engagement models

For companies that want to understand how AI can improve their current software development process.

🔥
Best for

CTOs, engineering leads, and product teams that are experimenting with AI but lack a structured adoption plan.

What you get:

Current SDLC review / Workflow bottleneck analysis / Practical adoption roadmap / AI opportunity map / Risk and guardrail recommendations / Recommended AI tools and use cases

For teams that want to test AI-assisted workflows on a real project before wider adoption.

🔥
Best for

Companies that want measurable results before changing the full development process.

What you get:

Selected pilot scope / AI-assisted workflow setup / Senior engineering oversight / Recommendations for rollout / Coding, QA, documentation, or refactoring pilot / Measurement of outcomes

For companies that want SolveIt to deliver software using AI-assisted workflows under senior engineering control.

🔥
Best for

Startups and SMBs that need faster product delivery but still want architecture, QA, and delivery discipline.

What you get:

Senior-led delivery process / Ongoing support if needed / AI-assisted coding and documentation / QA and release support / Project management / Production-ready delivery

For companies that want to help their internal development team adopt AI tools and workflows.

🔥
Best for

CTOs and engineering managers who want to improve team productivity without replacing the team.

What you get:

Tool adoption guidance / Workflow setup / AI usage guidelines / Code review rules / Team enablement / Practical support during rollout

Tools and technologies we can work with

AI-assisted software development is not about one tool. It is about building a reliable workflow around the right tools.
Depending on your stack, security needs, and team setup, we can work with different AI coding assistants, delivery tools, and technologies.

AI, LLMs, and orchestration

OpenAI / Claude / Gemini / Google AI / LangChain / LlamaIndex / AI agents / NLP / Embeddings / Prompt engineering / Context management

AI workflow automation

n8n / Make / OpenAI integrations / Claude integrations / CRM automation / Lead routing / Reporting automation / Cross-system automation

QA and testing

Playwright / Maestro / AI-assisted test case generation / Regression planning / Test automation support / Release checklists

AI coding assistants and agents

Cursor / GitHub Copilot / Claude Code / OpenAI Codex / ChatGPT / Windsurf / JetBrains AI

Knowledge base and document AI

Pinecone / Vector databases / Retrieval-augmented search / FAQ bots / Internal knowledge assistants / OCR / AWS Textract / Google Document AI / Azure AI Document Intelligence

Backend, APIs, and data

Node.js / NestJS / Express.js / Java / Kotlin / Spring Boot / .NET / REST API / PostgreSQL / MongoDB / Redis / SQL / Data pipelines

Frontend and mobile

React.js / Next.js / JavaScript / TypeScript / Tailwind CSS / Flutter / React Native / Swift / Kotlin

Development workflow, cloud, and monitoring

GitHub / GitLab / Jira / Linear / Confluence / Notion / Slack / CI/CD / AWS / Azure / Google Cloud / Docker / Firebase / Sentry / Datadog / Crashlytics / SonarQube
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Not sure which AI-assisted model fits your team?

Start with a focused review and get a practical next step.

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FAQ

What are AI-assisted software development services?

AI-assisted software development services help companies integrate AI into their software development process to accelerate discovery, coding, QA, documentation, refactoring, and delivery.
The goal is to improve engineering efficiency while senior developers, architects, QA engineers, and project managers keep control over quality, architecture, and production readiness.

How is AI-assisted software development different from AI software development?

AI software development usually means building products that use AI features, models, chatbots, recommendation systems, automation, or AI integrations.
AI-assisted software development means using AI to improve the development process itself – for example, coding, testing, documentation, refactoring, delivery reporting, and team workflows.

Can AI-assisted development reduce development time?

Yes, AI can reduce time spent on repetitive tasks such as boilerplate code, documentation drafts, test generation, PR summaries, and simple implementation work.
However, the actual impact depends on your product complexity, codebase quality, team process, requirements, and review discipline.

Does AI replace developers?

No. In our approach, AI supports software engineers but does not replace senior engineering ownership.
Senior engineers remain responsible for architecture, code review, technical decisions, risk control, and production readiness.

Can you help our existing development team adopt AI?

Yes. We can review your current development workflow, identify where AI can help, recommend tools, define usage guidelines, support a pilot, and help your team adopt AI-assisted development practices.

Can we hire AI-assisted software developers from SolveIt?

Yes. SolveIt can provide mobile, web, backend, QA, and full-stack specialists who use AI-assisted development tools while still following real engineering standards.
Our developers can work with tools like Cursor, GitHub Copilot, Claude Code, OpenAI Codex, ChatGPT, and similar AI assistants, while keeping senior review, coding standards, QA, and delivery discipline in place.

Which stages of the SDLC can be accelerated with AI?

AI can support discovery, requirements analysis, coding, code review, QA, test generation, documentation, refactoring, bug triage, release preparation, and delivery reporting.
Not every stage should be fully automated. We help define where AI is useful and where human oversight is required.

What AI development tools can you work with?

Depending on your team and stack, we can work with GitHub Copilot, Cursor, Claude Code, OpenAI Codex, ChatGPT, Windsurf, JetBrains AI, and other AI-assisted development tools.
The tool choice depends on your security requirements, codebase, team workflow, and development environment.

Is AI-assisted development suitable for existing projects?

Yes. Existing products can benefit from AI-assisted documentation, refactoring, code review support, test generation, technical debt analysis, and delivery workflow improvements.
For legacy or unstable systems, we usually start with a codebase and workflow review before recommending AI-assisted changes.

How do you control the quality of AI-generated code?

We use senior engineering review, coding standards, architecture guidelines, QA validation, testing, and delivery checks.
AI can assist with implementation, but final responsibility stays with the engineering team.